Objective priors for common correlation coefficient in bivariate normal populations

被引:0
作者
Kang, Sang Gil [1 ]
Lee, Woo Dong [2 ]
Kim, Yongku [3 ]
机构
[1] Sangji Univ, Dept Comp & Data Informat, Wonju, South Korea
[2] Daegu Haany Univ, Premajor Cosmet & Pharmaceut, Gyongsan, South Korea
[3] Kyungpook Natl Univ, Dept Stat, Daegu, South Korea
基金
新加坡国家研究基金会;
关键词
Bayesian inference; common correlation coefficient; matching prior; reference prior;
D O I
10.1080/03610926.2021.1945630
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
Various objective priors have been defined for the common correlation coefficient concerning several bivariate normal populations. In this paper, the proposed approach relies on the asymptotic matching of coverage probabilities corresponding to Bayesian credible intervals considering the corresponding frequentist ones. In the present paper, we focus on several matching criteria including quantile matching, distribution function matching, highest posterior density matching, and matching via inversion of test statistics. In addition, we consider reference priors for different groups of ordering. The proposed methods are investigated and compared between each other in terms of a frequentist coverage probability and then, they are illustrated through a simulation study and two real data examples.
引用
收藏
页码:2124 / 2143
页数:20
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